Responsible AI Specialist
London, GBR, United Kingdom
FactSet
FactSet provides best-in-class financial data, global market insights and analytics, trusted by industry leaders to keep you ahead in finance.FactSet creates flexible, open data and software solutions for over 180,000 investment professionals around the globe. We stay ahead of global market trends, power robust company and industry research, and provide comprehensive data with our market-leading solutions.
We believe today’s talent powers tomorrow’s innovations. As a globally inclusive community, we bring our whole selves to work, and encourage employees to join in, be heard, contribute, and grow. Our work environment fosters diversity, engagement, and productivity because we know that great ideas can come from anyone, at any time.
The Opportunity
FactSet seeks a visionary Responsible AI Specialist to play a pivotal role in shaping and delivering our Responsible AI vision and strategy. You'll bring your deep understanding of the financial industry, the capabilities of machine learning, and a keen eye for identifying transformative business opportunities. In this collaborative environment, you'll work closely with our world-class Machine Learning team and key stakeholders across the business. Your insights and expertise will directly influence our product roadmap, enabling us to deliver solutions that empower our clients to make better, data-informed decisions while championing Responsible AI principles.
What You'll Do
- Bring your multifaceted experience to FactSet as we are looking with someone that will think about the ethical side of AI, while still have some product and tech knowledge in AI.
- You will run the Responsible AI (RAI) initiative kicking off in FactSet and support a wide array of stakeholders.
- You will design and refine workflows to ensure adherence to RAI principles, establishing and promoting best practices.
- You will create, run and maintain assessments and other artifacts to determine GenAI product readiness and identify potential ethical concerns before we launch products to market.
- You will collaborate with development teams to evaluate when and what mitigation techniques to implement.
- You will train the other RAI stewards, provide guidance and training to the various business units.
- Create, own, update and execute on the RAI plan and roadmap.
- As the role enters an established phase and products teams are more aware, you may take on other initiatives around experimentation with the latest AI products in market.
What We're Looking For
Required Skills
- Experience working with LLM and Machine Learning as you will have to understand the inner workings, limitations, and potential biases, as well as the points of intervention for mitigation.
- 3+ years of experience, 1+ year in GenAI projects
- Awareness of the legislative landscape and regulations related to AI and data privacy.
Desired Skills
- Demonstrable projects in RAI
- Data Science, Technical Product Manager or Engineering background
- Python
What's In It For You
At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means:
- Contributing to a firm with over 40 years of consecutive growth, named a 2023 Best Place to Work by Glassdoor and led by a top-rated CEO Talent Champion.
- Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and companywide wellness days.
- Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives.
- A global community dedicated to volunteerism, sustainability, and inclusivity, where collaboration is always encouraged, and individuality drives solutions.
- Career progression plans with dedicated time each month for learning and development.
- Employee-led Business Resource Groups that align with our DE&I strategy and are wholly supported by Executive Management.
Learn more about our benefits here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Engineering Generative AI LLMs Machine Learning Privacy Python Research Responsible AI
Perks/benefits: Career development Equity / stock options Flex hours Flex vacation Health care Insurance Wellness
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